Article

Non-attendance to attributes in environmental choice analysis: a latent class specification

Details

Citation

Campbell D, Hensher DA & Scarpa R (2011) Non-attendance to attributes in environmental choice analysis: a latent class specification. Journal of Environmental Planning and Management, 54 (8), pp. 1061-1076. https://doi.org/10.1080/09640568.2010.549367

Abstract
There is a growing literature on the design and use of stated choice experiments. Analysts have developed sophisticated ways of analysing such data, using a form of discrete choice model to identify the marginal (dis)utility associated with observed attributes linked to an alternative, as well as accounting for preference and scale heterogeneity. There is also a growing literature studying the attribute processing rules that respondents use as a way of simplifying the task of choosing. Using the latent class framework, we define classes based on rules that recognise the non-attendance to one or more attributes. These processing rules are postulated to be used in real markets as a form of cognitive rationalisation. The empirical study involves a choice amongst rural environmental landscape improvements in the Republic of Ireland. We estimate models and calculate a marginal willingness to pay (WTP) for four landscape improvements, and contrast it with the results from a model specification in which all attributes are assumed to be attended to with parameter preservation. We find that the marginal WTP is, on average, significantly higher when full attribute preservation specification is adopted, raising questions about the appropriateness of current practice that assume a fully compensatory attribute choice rule.

Keywords
attribute non-attendance; latent class; scale-adjusted latent class; stated choice; willingness to pay

Journal
Journal of Environmental Planning and Management: Volume 54, Issue 8

StatusPublished
Publication date31/10/2011
URLhttp://hdl.handle.net/1893/10486
PublisherTaylor and Francis
ISSN0964-0568
eISSN1360-0559

People (1)

Professor Danny Campbell

Professor Danny Campbell

Professor, Economics